Mapping institutions and their weak ties in a specialty: A case study of cystic fibrosis body composition research

Liying Yang (), Steven A. Morris and Elizabeth M. Barden
Additional contact information
Liying Yang: National Science Library of Chinese Academy of Science
Steven A. Morris: Baker-Hughes Inc.
Elizabeth M. Barden: Barden Consulting

Scientometrics, 2009, vol. 79, issue 2, No 15, 434 pages

Abstract: Abstract The paper demonstrates visualization technique that show the collaboration structure of institutions in the specialty and the researchers that function as weak ties among them. Institution names were extracted from the collection of papers and disambiguated using the Derwent Analytics (v1.2) software product. Institutions were clustered into collaboration groups based on their co-occurrence in papers. A crossmap of clustered institutions against research fronts, which were derived using bibliographic coupling analysis, shows the research fronts that specific institutions participate in, their collaborator institutions and the research fronts in which those collaborations occurred. A crossmap of institutions to author teams, derived from co-authorship analysis, reveals research teams in the specialty and their general institutional affiliation, and further identifies the researchers that function as weak ties and the institutions that they link. The case study reveals that the techniques introduced in this paper can be used to extract a large amount of useful information about institutions participating in a research specialty.

Date: 2009
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DOI: 10.1007/s11192-009-0428-9

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